Mining association rules in interval-based temporal sequences
A new algorithm was proposed to find association rules in interval-based sequences, which was based on the concept of interval time series and used the properties of frequent closed patterns. By the properties of frequent closed patterns, the algorithm can avoid generating the redundancy candidate s...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74650097/ |
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| _version_ | 1841537602990112768 |
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| author | ZHU Tian1 BAI Shi-xue2 WANG Bai1 WU Bin1 |
| author_facet | ZHU Tian1 BAI Shi-xue2 WANG Bai1 WU Bin1 |
| author_sort | ZHU Tian1 |
| collection | DOAJ |
| description | A new algorithm was proposed to find association rules in interval-based sequences, which was based on the concept of interval time series and used the properties of frequent closed patterns. By the properties of frequent closed patterns, the algorithm can avoid generating the redundancy candidate sequences, thus decreases the time and space complexity and improves the efficiency of the algorithm. |
| format | Article |
| id | doaj-art-3b13cfa05c7f4cbea7a81a7d0c580035 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2009-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-3b13cfa05c7f4cbea7a81a7d0c5800352025-01-14T08:28:25ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2009-01-013011211574650097Mining association rules in interval-based temporal sequencesZHU Tian1BAI Shi-xue2WANG Bai1WU Bin1A new algorithm was proposed to find association rules in interval-based sequences, which was based on the concept of interval time series and used the properties of frequent closed patterns. By the properties of frequent closed patterns, the algorithm can avoid generating the redundancy candidate sequences, thus decreases the time and space complexity and improves the efficiency of the algorithm.http://www.joconline.com.cn/zh/article/74650097/data miningtime seriestemporal frequent patternassociation rule |
| spellingShingle | ZHU Tian1 BAI Shi-xue2 WANG Bai1 WU Bin1 Mining association rules in interval-based temporal sequences Tongxin xuebao data mining time series temporal frequent pattern association rule |
| title | Mining association rules in interval-based temporal sequences |
| title_full | Mining association rules in interval-based temporal sequences |
| title_fullStr | Mining association rules in interval-based temporal sequences |
| title_full_unstemmed | Mining association rules in interval-based temporal sequences |
| title_short | Mining association rules in interval-based temporal sequences |
| title_sort | mining association rules in interval based temporal sequences |
| topic | data mining time series temporal frequent pattern association rule |
| url | http://www.joconline.com.cn/zh/article/74650097/ |
| work_keys_str_mv | AT zhutian1 miningassociationrulesinintervalbasedtemporalsequences AT baishixue2 miningassociationrulesinintervalbasedtemporalsequences AT wangbai1 miningassociationrulesinintervalbasedtemporalsequences AT wubin1 miningassociationrulesinintervalbasedtemporalsequences |